Bibliographic record
Abstract
Challenges the traditional perception that Loyalists were ostracized as traitors to the United States, after the American Revolution. The DePeyster family of New York was one of the first families of New Amsterdam, ranking among the wealthiest of New York during the early days of the American Republic. The DePeysters were also unapologetic Loyalists, serving in the King's forces during the American Revolution. After the war, the four sons left the United States for Canada and Great Britain. Ten years later, one son, Frederick DePeyster, returned to New York, embraced his Loyalist past, and utilized his British connections to become a prominent and successful merchant. The DePeysters went on to become true Patriots, zealously supporting US interests in the War of 1812. This book examines the forces at work in the lives of the DePeyster family and the decisions they made to navigate their way from loyal subjects of the British crown to loyal citizens of the United States. How this transformation occurred challenges many of the preconceived ideas we hold both about the Revolution and the formation of the American identity in the years following the war.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".